import unittest

import numpy as np
import torch

from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()
class 					snake_case	(     unittest.TestCase   ):

   """simple docstring"""







   @property
   def 				snake_case__							(    self	):
     torch.manual_seed(0	)
     __lowercase					=		UNetaDModel(
         block_out_channels=(32, 64)					,	layers_per_block=2					,	sample_size=32					,	in_channels=3					,	out_channels=3					,	down_block_types=("DownBlock2D", "AttnDownBlock2D")					,	up_block_types=("AttnUpBlock2D", "UpBlock2D")					,	)
     return model





   def 				snake_case__							(    self	):
     __lowercase					=		self.dummy_uncond_unet
     __lowercase					=		ScoreSdeVeScheduler()

     __lowercase					=		ScoreSdeVePipeline(unet=lowerCAmelCase_					,	scheduler=lowerCAmelCase_	)
     sde_ve.to(lowerCAmelCase_	)
     sde_ve.set_progress_bar_config(disable=lowerCAmelCase_	)

     __lowercase					=		torch.manual_seed(0	)
     __lowercase					=		sde_ve(num_inference_steps=2					,	output_type="numpy"					,	generator=lowerCAmelCase_	).images

     __lowercase					=		torch.manual_seed(0	)
     __lowercase					=		sde_ve(num_inference_steps=2					,	output_type="numpy"					,	generator=lowerCAmelCase_					,	return_dict=lowerCAmelCase_	)[
         0
     ]

     __lowercase					=		image[0, -3:, -3:, -1]
     __lowercase					=		image_from_tuple[0, -3:, -3:, -1]

     assert image.shape == (1, 32, 32, 3)
     __lowercase					=		np.array([0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0]	)

     assert np.abs(image_slice.flatten() - expected_slice	).max() < 1E-2
     assert np.abs(image_from_tuple_slice.flatten() - expected_slice	).max() < 1E-2







@slow
@require_torch
class 					snake_case	(     unittest.TestCase   ):

   """simple docstring"""







   def 				snake_case__							(    self	):
     __lowercase					=		"google/ncsnpp-church-256"
     __lowercase					=		UNetaDModel.from_pretrained(lowerCAmelCase_	)

     __lowercase					=		ScoreSdeVeScheduler.from_pretrained(lowerCAmelCase_	)

     __lowercase					=		ScoreSdeVePipeline(unet=lowerCAmelCase_					,	scheduler=lowerCAmelCase_	)
     sde_ve.to(lowerCAmelCase_	)
     sde_ve.set_progress_bar_config(disable=lowerCAmelCase_	)

     __lowercase					=		torch.manual_seed(0	)
     __lowercase					=		sde_ve(num_inference_steps=10					,	output_type="numpy"					,	generator=lowerCAmelCase_	).images

     __lowercase					=		image[0, -3:, -3:, -1]

     assert image.shape == (1, 256, 256, 3)

     __lowercase					=		np.array([0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]	)

     assert np.abs(image_slice.flatten() - expected_slice	).max() < 1E-2





"""simple docstring"""



from collections.abc import Sequence
from queue import Queue







class    __a						:







				def __init__( self      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase=None      ,	UpperCAmelCase=None   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			start
					lowerCAmelCase_      							=			end
					lowerCAmelCase_      							=			val
					lowerCAmelCase_      							=			(start + end) // 2
					lowerCAmelCase_      							=			left
					lowerCAmelCase_      							=			right







				def __repr__( self   ):

					'''simple docstring'''






					return F"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""







class    __a						:







				def __init__( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			collection
					lowerCAmelCase_      							=			function
					if self.collection:
						lowerCAmelCase_      							=			self._build_tree(0      ,	len(UpperCAmelCase   ) - 1   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					self._update_tree(self.root      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					return self._query_range(self.root      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if start == end:
						return SegmentTreeNode(UpperCAmelCase      ,	UpperCAmelCase      ,	self.collection[start]   )
					lowerCAmelCase_      							=			(start + end) // 2
					lowerCAmelCase_      							=			self._build_tree(UpperCAmelCase      ,	UpperCAmelCase   )
					lowerCAmelCase_      							=			self._build_tree(mid + 1      ,	UpperCAmelCase   )
					return SegmentTreeNode(UpperCAmelCase      ,	UpperCAmelCase      ,	self.fn(left.val      ,	right.val   )      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if node.start == i and node.end == i:
						lowerCAmelCase_      							=			val
						return
					if i <= node.mid:
						self._update_tree(node.left      ,	UpperCAmelCase      ,	UpperCAmelCase   )
					else:
						self._update_tree(node.right      ,	UpperCAmelCase      ,	UpperCAmelCase   )
					lowerCAmelCase_      							=			self.fn(node.left.val      ,	node.right.val   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if node.start == i and node.end == j:
						return node.val

					if i <= node.mid:
						if j <= node.mid:
							# range in left child tree
							return self._query_range(node.left      ,	UpperCAmelCase      ,	UpperCAmelCase   )
						else:
							# range in left child tree and right child tree
							return self.fn(
							    self._query_range(node.left      ,	UpperCAmelCase      ,	node.mid   )      ,	self._query_range(node.right      ,	node.mid + 1      ,	UpperCAmelCase   )      ,	)
					else:
						# range in right child tree
						return self._query_range(node.right      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					if self.root is not None:
						lowerCAmelCase_      							=			Queue()
						queue.put(self.root   )
						while not queue.empty():
							lowerCAmelCase_      							=			queue.get()
							yield node

							if node.left is not None:
								queue.put(node.left   )

							if node.right is not None:
								queue.put(node.right   )


if __name__ == "__main__":
		import operator

		for fn in [operator.add, max, min]:
				print('*' * 50)
				lowercase_							=							SegmentTree([2, 1, 5, 3, 4], fn)
				for node in arr.traverse():
						print(node)
				print()

				arr.update(1, 5)
				for node in arr.traverse():
						print(node)
				print()

				print(arr.query_range(3, 4))  # 7
				print(arr.query_range(2, 2))  # 5
				print(arr.query_range(1, 3))  # 13
				print()